article · 2001

Gabor Wavelet Based Pose Estimation For Face

Recognition Gkberk Akarun, B. Gökberk, L. Akarun, E. Alpaydın

Cited by 0Abstract and details only

Abstract

One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In this work, we use a variation of Gabor wavelet transform for the representation of human face images to efficiently solve the pose estimation problem. Parameters of the Gabor wavelets, namely frequency and orientation, are adjusted to gain better performance. Principal Component Analysis is performed to reduce the dimensionality without a significant loss in the performance. Our results show that Gabor wavelet based filtering of images improves the performance of the pose estimation module.

Cite this paper

APA 7

Akarun, R. G., Gökberk, B., Akarun, L., & Alpaydın, E. (2001). Gabor Wavelet Based Pose Estimation For Face.

MLA 9

Akarun, Recognition Gkberk, et al. “Gabor Wavelet Based Pose Estimation For Face.” 2001.

Chicago

Akarun, Recognition Gkberk, B. Gökberk, L. Akarun, and E. Alpaydın. 2001. “Gabor Wavelet Based Pose Estimation For Face.”

Harvard

Akarun, R.G. et al. (2001) ‘Gabor Wavelet Based Pose Estimation For Face’.

BibTeX

@article{akarun2001gabor,
  title = {{Gabor Wavelet Based Pose Estimation For Face}},
  author = {Akarun, Recognition Gkberk and Gökberk, B. and Akarun, L. and Alpaydın, E.},
  year = {2001}
}

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